DocumentCode :
2678634
Title :
Using Wavelet Support Vector Machines to Generate Expected Outputs
Author :
Ye, Mao ; Feng, BoQin ; Zhu, Li ; Lin, Yao
Author_Institution :
Sch. of Electron. & Inf. Eng., Xi´´an Jiaotong Univ.
Volume :
2
fYear :
2006
fDate :
17-19 July 2006
Firstpage :
886
Lastpage :
890
Abstract :
A test case consists of a set of inputs and a list of expected outputs. To automatically generate the expected outputs for the test case is rather difficult. An approach based on wavelet support vector machines (WSVM) is proposed to overcome it. After training, WSVM is used to automatically generate the expected outputs, which approximate the correct outputs. Actual outputs of the application under testing (AUT) are then compared with expected outputs in an interval to determine if there is a failure. Experiment and comparison show that the method is effective and can save a lot of time and labor in software testing
Keywords :
program testing; support vector machines; wavelet transforms; application under testing; software testing; wavelet support vector machines; Application software; Automatic testing; Electronic equipment testing; Graphical user interfaces; Kernel; Neural networks; Software performance; Software testing; Support vector machine classification; Support vector machines; Support vector machines; software testing; wavelet kernel function;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Cognitive Informatics, 2006. ICCI 2006. 5th IEEE International Conference on
Conference_Location :
Beijing
Print_ISBN :
1-4244-0475-4
Type :
conf
DOI :
10.1109/COGINF.2006.365609
Filename :
4216527
Link To Document :
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